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Remote Sensor Fusion Engineer Jobs in Babylon, NY

Role & Mission This VIE is Alta Ares' software engineering presence in the United States -- a ... computer vision pipelines, sensor fusion, and/or GCS software * Write clean, well-tested ...

Autodesk Fusion Expert Job Type: Contractor Location: Remote Job Overview We are seeking experienced Autodesk Fusion Experts to support an AI-focused project in manufacturing and digital fabrication.

This is a remote position for candidates based out of the North Eastern US. AI Innovation at ... images, video, sensor data, audio, and text in over 150 languages). Learn more here. The ...

This is a remote position for candidates based out of the North Eastern US. AI Innovation at ... images, video, sensor data, audio, and text in over 150 languages). Learn more here. The ...

Senior Firmware Engineer

New York, NY ยท On-site +1

$153K - $242K/yr

... sensor integration. * Experience with Linux driver development * Comfort with debugging tools such as GDB JTAG and debugging over serial or remote consoles. * Basic scripting skills in Python or Bash ...

No prior AI experience is required--your engineering and CAD expertise are what matter most. Key ... Expert proficiency in SolidWorks, with experience in Autodesk Inventor, Fusion 360, or FreeCAD ...

... sensor data. Our Field Sales Engineers work in-region alongside our Regional Sales Managers, owning technical pre-sales for our largest and most strategic prospective customers. This is a remote ...

DevOps Engineer

New York, NY ยท Remote

$57.75 - $79/hr

Remote / NYC -East Coast Position Reports to: SVP, Engineering TelmarHelixa: Where AI Meets ... We're the fusion of Telmar, a pioneer in global insights and media planning, and Helixa, a cutting ...

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Remote Sensor Fusion Engineer information

See Babylon, NY salary details

$43.3K

$93.9K

$145.2K

How much do remote sensor fusion engineer jobs pay per year?

As of Aug 26, 2026, the average yearly pay for remote sensor fusion engineer in Babylon, NY is $93,897.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,800.00 and $115,700.00 per year, depending on experience, location, and employer.

What does a remote sensor fusion engineer do?

A Remote Sensor Fusion Engineer is responsible for integrating and analyzing data from multiple sensors, such as cameras, radars, and lidars, to create a comprehensive and accurate understanding of an environment. This role is essential in fields like autonomous vehicles, robotics, and IoT systems, where precise situational awareness is critical. As a remote position, the engineer collaborates with cross-functional teams using digital tools to design algorithms, test sensor data integration, and improve system performance from a remote location.

What are some typical challenges faced by remote sensor fusion engineers when integrating data from multiple sensors?

Remote Sensor Fusion Engineers often encounter challenges such as handling data discrepancies due to varying sensor resolutions, synchronization issues caused by different sensor update rates, and managing sensor noise or data loss. Ensuring that the fused data is both reliable and processed in real-time for downstream applications can be complex, especially in distributed or remote environments. Effective collaboration with hardware engineers, software developers, and data scientists is essential to address these challenges and optimize system performance.

What are the key skills and qualifications needed to thrive as a remote sensor fusion engineer, and why are they important?

To thrive as a Remote Sensor Fusion Engineer, you need a solid background in signal processing, mathematics, and experience with sensor technologies, often supported by a degree in electrical engineering, robotics, or a related field. Familiarity with programming languages like Python or C++, sensor simulation tools, and frameworks such as ROS (Robot Operating System) is typically required. Strong problem-solving abilities, analytical thinking, and effective communication are crucial soft skills for collaborating remotely and integrating complex data sources. These skills and qualifications are essential for developing reliable sensor fusion algorithms that enable accurate perception in autonomous or remote systems.

What is the difference between Remote Sensor Fusion Engineer vs Remote Data Scientist?

AspectRemote Sensor Fusion EngineerRemote Data Scientist
Required CredentialsBachelor's or Master's in Electrical Engineering, Computer Science, or related fields; experience with sensor systems and fusion algorithmsBachelor's or Master's in Data Science, Statistics, or related fields; proficiency in programming and statistical analysis
Work EnvironmentDevelops algorithms for sensor data integration, often in robotics, autonomous vehicles, or aerospaceAnalyzes large datasets to extract insights, often in tech, finance, or healthcare sectors
Industry UsageUsed in industries like automotive, aerospace, defense, and roboticsCommon in tech companies, research institutions, and consulting firms

While both roles involve data analysis and programming, Remote Sensor Fusion Engineers focus on integrating sensor data for real-time applications in robotics and autonomous systems. Remote Data Scientists analyze large datasets for insights and decision-making. The roles share technical skills but differ in application and industry focus.

What are popular job titles related to Remote Sensor Fusion Engineer jobs in Babylon, NY?

For Remote Sensor Fusion Engineer jobs in Babylon, NY, the most frequently searched job titles are:

What cities near Babylon, NY are hiring for Remote Sensor Fusion Engineer jobs?

Cities near Babylon, NY with the most Remote Sensor Fusion Engineer job openings:

Staff Software Engineer, Localization

AeroVect

New York, NY โ€ข On-site, Remote

Full-time

Re-posted 8 days ago


Job description

Who We Are
AeroVect is transforming ground handling with autonomy, redefining how airlines and ground service providers around the globe run day-to-day operations. We are a Series A company backed by top-tier venture capital investors in aviation and autonomous driving. Our customers include some of the world's largest airlines and ground handling providers. For more information, visit www.aerovect.com.
We are looking for a Staff Software Engineer to join the Localization team and own significant parts of our localization, mapping, and calibration stack as we scale autonomous ground operations across major airports. You'll take deep ownership of specific workstreams, contribute to the team's technical direction, and partner across the perception, planning, and platform interfaces to help drive the autonomous system from supervised operation to driverless. You'll work alongside the team's senior localization engineers.
You Will
  • Take ownership of one or more core areas of the localization stack (LiDAR-inertial-GNSS state estimation, 3D mapping and map maintenance, or sensor calibration) and drive it to production reliability on real hardware at active airports
  • Contribute across the broader localization and mapping pipeline from sensor integration, performance tuning, regression testing, and deployment to new operating environments
  • Help design and build online validation that monitors localization integrity and cross-sensor consistency during live missions, detects drift, and integrates with the vehicle's safety architecture
  • Develop tooling for diagnostics, health logging, and post-mission analysis across the stack
  • Contribute to the regression, validation, and release-gating approach for localization changes deployed to active airports
  • Deploy, test, and iterate using data from real autonomous operations

You Have
  • 8+ years in robotics or autonomous vehicles, with a track record of owning localization or state-estimation systems through production deployment on real hardware
  • Deep practical grounding in multi-sensor fusion and state estimation across LiDAR, IMU, GNSS, and cameras
  • Demonstrated technical leadership - driving architecture across teams, setting direction, and being the person others escalate to on hard estimation problems
  • Strong command of non-linear optimization (Ceres, GTSAM, g2o) and/or filtering (EKF, UKF), with the judgment to know when each applies
  • Strong modern C++ (C++17+) and deep working experience with Linux and ROS/ROS2
  • Understanding of how calibration quality propagates through localization and perception, and how localization errors propagate into the safety case
  • BS or MS in Computer Science, Robotics, Electrical/Mechanical Engineering, or a related field

We Prefer
  • MS or PhD with a focus on localization, state estimation, or calibration
  • Hands-on experience with multi-sensor calibration - intrinsic, extrinsic, and temporal
  • Experience with factor graphs, graph-based SLAM, or open-source tools like GLIM, LIO-SAM, Cartographer, Kalibr, Ceres, GTSAM
  • Experience building online/runtime monitoring and defining safety-relevant thresholds within a safety monitoring architecture
  • Track record of taking an autonomous system toward driverless operation